sentographic

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Inspiration

It is important for companies/brands to know the voice of their customers/users on how they are feeling about their products/services. Hence, we built an one-stop application, where companies/brands can come here and get to know about the EMOTIONS/SENTIMENTS/VOICE of their users/customers.

What it does

As we all know, Social and News Media are the platforms where users voice can be heard aloud today. So, we are fetching the twitter tweets data using tweepy and news articles data using newsapi. We then calculate the sentiment analysis of the data using Expert.ai Sentiment Analysis and leverage few of the Expert.ai services like Main Lemmas and Entities.

How we built it

Django is the backend server. Using Newsapi and Tweepy, fetching data from news and social media platforms. At frontend, we used JS, Bootstrap and CSS and HTML to represent a beautiful UI with graphs.

Challenges we ran into

Limitation of Newsapi requests to limit only 1000 requests for one hour per account. Hence, we are limited to display only top 150 when it comes to News Articles data. Having no experience in Django, learnt it and developed and enhanced the application to much better.